Velocity Reconstruction from Flow-Induced Magnetic Fields
Yacine Mokhtari, Christina Frederick, Yunan Yang, Bjorn Engquist

TL;DR
This paper investigates the inverse problem of reconstructing an incompressible velocity field from magnetic field observations, analyzing conditions for uniqueness and well-posedness in different domain settings.
Contribution
It provides new criteria for the uniqueness and solvability of velocity reconstruction from magnetic data, including Diophantine conditions and domain-dependent criteria.
Findings
Reconstruction is well-posed on non-characteristic hypersurfaces in space.
Sharp uniqueness criterion on a torus depends on rational dependence of background field ratios.
Velocity reconstruction in L^2 requires the background field to satisfy a Diophantine condition.
Abstract
We study the inverse problem of reconstructing an incompressible velocity field from observations of the induced magnetic field . In the presence of a strong, constant background field , the evolution of the magnetic perturbation is governed by the linearized induction equation. We analyze the system on both the entire space and a periodic domain , which models a homogeneous medium with side lengths . We analyze this problem by decomposing it into the injectivity of a parabolic forward map and the solvability of a divergence-free transport sub-problem. On the whole space , we show that the transport sub-problem is well-posed when data is prescribed on a non-characteristic hypersurface transverse to . On the torus, we establish a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods in inverse problems · Electrical and Bioimpedance Tomography · Microwave Imaging and Scattering Analysis
